Solving Sparse Linear Systems on Temporal Barabási-Albert Symmetric
25Average Iteration CountSpSA
Evaluation Results
| Method | Links | |
|---|---|---|
| SpSAVars=600K, NNZ=4.2M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 25 | |
| AGGVars=200K, NNZ=1.4M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 28 | |
| AGGVars=400K, NNZ=2.8M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 28 | |
| AGGVars=600K, NNZ=4.2M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 28 | |
| RAPNetVars=200K, NNZ=1.4M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 38 | |
| RAPNetVars=400K, NNZ=2.8M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 41 | |
| SpSAVars=400K, NNZ=2.8M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 44 | |
| RAPNetVars=600K, NNZ=4.2M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 44 | |
| RAPNetVars=200K, NNZ=1.4M, Evaluation Protocol=As Standalone Solver2026.05 | 72 | |
| RAPNetVars=400K, NNZ=2.8M, Evaluation Protocol=As Standalone Solver2026.05 | 74 | |
| RAPNetVars=600K, NNZ=4.2M, Evaluation Protocol=As Standalone Solver2026.05 | 85 | |
| SpSAVars=600K, NNZ=4.2M, Evaluation Protocol=As Standalone Solver2026.05 | 90 | |
| SpSAVars=200K, NNZ=1.4M, Evaluation Protocol=As Preconditioner to GMRES2026.05 | 97 | |
| AGGVars=200K, NNZ=1.4M, Evaluation Protocol=As Standalone Solver2026.05 | 102 | |
| AGGVars=400K, NNZ=2.8M, Evaluation Protocol=As Standalone Solver2026.05 | 104 | |
| AGGVars=600K, NNZ=4.2M, Evaluation Protocol=As Standalone Solver2026.05 | 106 | |
| SpSAVars=400K, NNZ=2.8M, Evaluation Protocol=As Standalone Solver2026.05 | 216 | |
| SpSAVars=200K, NNZ=1.4M, Evaluation Protocol=As Standalone Solver2026.05 | 467 |